# library(testthat)
# library(scorecard)
# library(data.table)
# test_check("scorecard")
# # Profiling
# https://support.rstudio.com/hc/en-us/articles/218221837-Profiling-with-RStudio
# data("germancredit")
# dat = rbindlist(rep(list(d = germancredit), 100))
# dat[sample(100000, 1000), sample(20, 3)] <- ''
# library(profvis)
# profvis({
# # bins = woebin(dat, 'creditability')
# # dat_woe = woebin_ply(dat, bins)
# dat_sel = var_filter(dat, 'creditability')
# })
# library(rbenchmark)
# y = dat$creditability
# y[sample(100000, 10000)] <- NA
# benchmark(
# mean(is.na(y)),
# sum(is.na(y))/length(y)
# )
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